Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis

Journal article

Creator

Ryo Tamura (author) (Search by this author)

https://orcid.org/0000-0002-0349-358X

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Ryo Tamura ;

Kenji Nagata (author) (Search by this author)

Kenji Nagata ;

Keitaro Sodeyama (author) (Search by this author)

Keitaro Sodeyama ;

Kensaku Nakamura (author) (Search by this author)

Kensaku Nakamura ;

Toshiki Tokuhira (author) (Search by this author)

Toshiki Tokuhira ;

Satoshi Shibata (author) (Search by this author)

Satoshi Shibata ;

Kazuki Hammura (author) (Search by this author)

Kazuki Hammura ;

Hiroki Sugisawa (author) (Search by this author)

Hiroki Sugisawa ;

Masaya Kawamura (author) (Search by this author)

Masaya Kawamura ;

Teruki Tsurimoto (author) (Search by this author)

Teruki Tsurimoto ;

Masanobu Naito (author) (Search by this author)

Masanobu Naito ;

Masahiko Demura (author) (Search by this author)

https://orcid.org/0000-0002-7308-3041

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Masahiko Demura ;

Takashi Nakanishi (author) (Search by this author)

https://orcid.org/0000-0002-8744-782X

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Takashi Nakanishi

Keyword

Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning

Date published

2024-12-31

Updated at

2024-08-30 16:31:01 +0900